应用蛋白质指纹图谱技术快速鉴别诊断菌阴肺结核

发布时间：2018-03-28 17:45

  本文选题：肺结核　切入点：肺部炎症　出处：《中国人兽共患病学报》2014年07期

【摘要】：目的探索应用蛋白质指纹图谱技术于菌阴肺结核与肺炎的鉴别诊断。方法从本院临床病例中,选择菌阴肺结核和肺炎患者及健康者各60例,应用表面加强激光解吸电离飞行时间质谱技术(SELDI/ToF-Ms)和蛋白芯片技术检测血清蛋白,并应用Ciphergen蛋白芯片3.1.1软件进行比较,分析其相关蛋白峰值并进行统计学处理。结果对180例菌阴肺结核、肺炎患者、健康者的血清蛋白指纹图谱数据进行比较,发现有5个蛋白峰(1 028.49、4 796.56、7 564.77、8 048.02、11 526.75m/z)存在显著的差异,有统计学意义(P0.01)。由这5个蛋白峰组成的诊断模型鉴别诊断菌阴肺结核与肺炎的总有效率84.2%(101/120),敏感性与特异性分别为82.5%(52/63),85.9%(49/57);阳性预测值86.7%(52/60),阴性预测值为81.7%(49/60)。诊断模型在判别肺炎、菌阴肺结核患者与健康者之间,总有效率达89.4%(161/180),特异性为100%(60/60),灵敏度为84.2%(101/120),阳性预测值100%(101/101),阴性预测值75.9%(60/79)。结论蛋白质指纹图谱技术具有方法简便、检测快速,标本用量少的优点,是筛选结核病特异性标志物的有效手段,通过蛋白质指纹图谱技术检测,发现了具有良好鉴别诊断的"诊断模型"。
[Abstract]:Objective to explore the application of protein fingerprinting in the differential diagnosis of bacterial negative pulmonary tuberculosis and pneumonia. Surface enhanced laser desorption ionization time of flight mass spectrometry (SELDI / ToF-Ms) and protein chip technique were used to detect serum protein and compared with Ciphergen protein chip 3.1.1 software. Results the serum protein fingerprint data of 180 patients with pulmonary tuberculosis, pneumonia and healthy persons were compared. It was found that there were significant differences in 5 protein peaks (1 028.49 / 4 7796.56 / 7 / 8 048.02.02 / 11 526.75m/ z). The total effective rate of differential diagnosis of negative pulmonary tuberculosis and pneumonia was 84.2 / 101 / 120, the sensitivity and specificity were 82.5 / 52 / 63 and 85.9 / 57, respectively; the positive predictive value was 86.752 / 60 and the negative predictive value was 81.77.The diagnostic model was discriminating pneumonia. The total effective rate was 89.4% 16.1% 180%, the specificity was 100% 60 / 60%, the sensitivity was 84.2% 101 / 120, the positive predictive value was 100% 101 / 101%, the negative predictive value was 75.9% / 790.Conclusion protein fingerprinting technique has the advantages of simple, rapid detection and low sample consumption. It is an effective method for screening specific markers of tuberculosis. A "diagnostic model" with good differential diagnosis has been found by detecting protein fingerprinting.
【作者单位】： 福建省福州肺科医院/福建医科大学临床教学医院;
【基金】：福建省自然科学基金(No.2012J01426)资助~~
【分类号】：R521
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本文编号：1677376